A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization
Year of publication: |
2023
|
---|---|
Authors: | Lahmiri, Salim ; Bekiros, Stelios ; Avdoulas, Christos |
Published in: |
Decision analytics journal. - Amsterdam : Elsevier, ISSN 2772-6622, ZDB-ID 3106160-6. - Vol. 6.2023, Art.-No. 100166, p. 1-8
|
Subject: | Bayesian optimization | Boosting ensemble regression trees | Gaussian process regression | House price prediction | Predictive analytics | Support vector regression | Immobilienpreis | Real estate price | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Bayes-Statistik | Bayesian inference | Theorie | Theory | Data Mining | Data mining | Künstliche Intelligenz | Artificial intelligence | Mustererkennung | Pattern recognition |
-
Fama-French three versus five, which model is better? : a machine learning approach
Diallo, Boubacar, (2023)
-
Combination forecasts of tourism demand with machine learning models
Claveria, Oscar, (2016)
-
Hajibabaei, Saeed, (2014)
- More ...
-
Nonlinear forecasting of Euro Area industrial production using evolutionary approaches
Avdoulas, Christos, (2018)
-
Tail-related risk measurement and forecasting in equity markets
Bekiros, Stelios, (2019)
-
Avdoulas, Christos, (2016)
- More ...